Remote ML/​AI Ops Engineer - Data Resilience Focus

About the Role

We are seeking a talented Remote ML/AI Ops Engineer to join our innovative team at Veeam Software. As a leader in data resilience, Veeam empowers businesses to control their data whenever and wherever they need it. In this role, you will be instrumental in enhancing our data resilience solutions, which include data backup, recovery, portability, security, and intelligence. This is a unique opportunity to work with cutting-edge technologies and make a significant impact on our global customer base.

What You'll Do

• Design and implement ML/AI operations frameworks to optimize data resilience processes.
• Collaborate with cross-functional teams to integrate machine learning models into production environments.
• Monitor and maintain ML models, ensuring high performance and reliability.
• Develop automation scripts to streamline data operations and enhance efficiency.
• Analyze data trends and provide insights to improve our data resilience offerings.

Requirements

• 3+ years of experience as an ML/AI Ops Engineer or similar role.
• Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Proficiency in programming languages such as Python and Go.
• Excellent problem-solving skills and a passion for data-driven decision-making.

Nice to Have

• Experience with data resilience technologies and practices.
• Familiarity with CI/CD pipelines and DevOps methodologies.
• Knowledge of data security best practices.

What We Offer

• Competitive salary and benefits package.
• Fully remote work environment with flexible hours.
• Opportunities for professional growth and development.
• Collaborative and inclusive company culture.
• Access to the latest tools and technologies in the field.